{"id":"W2463063833","doi":"10.2196/mhealth.5637","title":"Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activity tracker; Wearable computer; Reciprocal; Physical activity; Wearable technology; Reinforcement; Human–computer interaction; Computer science; mHealth; Social network (sociolinguistics); Psychology; Applied psychology; Internet privacy; Social psychology; Physical medicine and rehabilitation; World Wide Web; Medicine; Social media; Psychological intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001908406,0.0003993726,0.0009016872,0.0002011581,0.002342947,0.00001800169,0.0001864384,0.0004922376,0.00003339251],"category_scores_gemma":[0.00002871491,0.0003166034,0.00006068263,0.0004707605,0.0001904264,0.0004510223,0.0001732574,0.001307065,0.000050017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007780962,"about_ca_system_score_gemma":0.001483135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041998,"about_ca_topic_score_gemma":0.001594376,"domain_scores_codex":[0.994802,0.0008069672,0.0008899543,0.0008640298,0.0004242601,0.002212784],"domain_scores_gemma":[0.9966457,0.0008767642,0.0007307357,0.000383919,0.0001045004,0.001258364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009038785,0.0002635324,0.4505928,0.00677916,0.00001171875,0.000002591685,0.006230631,0.000004622436,0.0001775081,0.002002286,0.0008994436,0.5321319],"study_design_scores_gemma":[0.00301814,0.0003893365,0.9809473,0.0006056184,0.00004859895,0.00000184156,0.0007259138,0.0001745722,0.00001374923,0.0007281498,0.01302463,0.0003222109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850588,0.0002027405,0.0001589722,0.00960844,0.000204587,0.004139186,0.00006354162,0.0001551779,0.0004085365],"genre_scores_gemma":[0.9913666,0.001167189,0.0001238797,0.002069979,0.001178713,0.003829061,0.00001478348,0.00005026094,0.0001995707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5318096,"threshold_uncertainty_score":0.9999286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06697557158583003,"score_gpt":0.446960945398875,"score_spread":0.379985373813045,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}